Evidence map›Paper›PMID 35117544›Full record

ArticleTranslational cancer research2020

Prevalence and genotypes of human papilloma virus infection in CIN3 in Beijing, China.

Xuan-Yu Zhao, Wei-Min Kong, Si-Meng Jiao, Dan Song, Jiao Chen, Ruo-Tian Shang

Open access · diamondAbstract read
In one paragraph

Article in Translational cancer research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact, top 98% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 1 citations in OpenAlex.

  1. Pooled it
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Xuan-Yu ZhaoDepartment of Gynecological Oncology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing 100006, China.
Wei-Min KongDepartment of Gynecological Oncology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing 100006, China.
Si-Meng JiaoDepartment of Gynecological Oncology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing 100006, China.
Dan SongDepartment of Gynecological Oncology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing 100006, China.
Jiao ChenDepartment of Gynecological Oncology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing 100006, China.
Ruo-Tian ShangDepartment of Gynecological Oncology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing 100006, China.
Beijing Obstetrics and Gynecology Hospital · CNCapital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo investigate the incidence of single and multiple human papillomavirus (HR-HPV) infection in CIN3 patients before operation.

methodsThe complete clinical data of patients with CIN3 by biopsy were collected. HPV23 typing in the first 3 months of the treatment was detected. The infection rate of HPV was analyzed.

resultsOne thousand and fifty-one HPV subtypes were detected in 679 patients with HPV (+) CIN3 with primary conization, of which the top ten were HPV16, 33, 31, 58, 6, 52, 18, 43, 51, 11, 68, respectively. Among them, single subtype HPV infection accounted for 64.36%, while multiple HPV infection accounted for 35.64%. For multiplex HPV infection, there were 2, 3, 4 species, and 148 (21.80%), 69 (10.16%), 16 (2.36%), 9 (1.33%) cases of multiple HPV infection of 5 and above HPV subtypes respectively. The incidence of multiple HPV infection in CIN3 patients in 2015 was higher than that in 2012 (39.01%

conclusionsThe top 10 HPV subtypes of the CIN3 patients were included in HPV nine valence vaccines except HPV43 and 51.

Indexed as

CIN3conizationgenotypeshuman papillomavirus (HPV) infectionmultiple infectionPapilloma virus

Identifiers

PMID35117544
PMCPMC8798541
OpenAlexW3008431597

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.